Abstract
The process of rendering numerical legal verdicts, such as non-economic damages or prison terms, is as common in legal systems, as it is inconsistent and erratic. The undue variability and unpredictability of numeric outcomes of legal proceedings may be a result of cognitive biases such as the anchoring effect. If anchors affecting verdicts are legally irrelevant, they might lead judges and jurors astray. In this Chapter, we review debiasing methods proposed in the literature to mitigate the anchoring effect in order to evaluate their effectiveness and applicability to the legal system. Then, we focus on an issue often neglected when it comes to the application of debiasing measures in law, namely the concept of judicial discretion. We argue that in cases in which judges are not aware of the biasing factors, they may not exercise their discretion properly. We try to assess which debiasing methods may make the process of rendering numerical verdicts more reasonable and predictable without necessarily eliminating the element of discretion in contexts where its preservation is deemed worthwhile.
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Notes
- 1.
See review in Bystranowski et al. (2021).
- 2.
- 3.
Hart (2013).
- 4.
Hans et al. (2018).
- 5.
See Hans and Reyna (2011).
- 6.
- 7.
Guthrie and Orr (2006).
- 8.
Furnham and Boo (2011).
- 9.
Bahník et al. (2017).
- 10.
Bahník et al. (2017).
- 11.
Tversky and Kahneman (1974).
- 12.
- 13.
Epley and Gilovich (2006).
- 14.
- 15.
See e.g. Mussweiler and Strack (1999a).
- 16.
- 17.
Carroll et al. (2009).
- 18.
Frederick and Mochon (2012).
- 19.
Strack and Mussweiler (1997).
- 20.
- 21.
- 22.
- 23.
- 24.
- 25.
- 26.
- 27.
- 28.
Bahník and Strack (2016).
- 29.
Baron (2014).
- 30.
Cf. Zenker and Dahlman (2016).
- 31.
- 32.
Hastie (2011).
- 33.
E.g. Landes and Posner (1993).
- 34.
- 35.
Eisenberg et al. (1997).
- 36.
Diamond et al. (2011).
- 37.
Chang et al. (2016).
- 38.
Gronfein and Kinney (1991).
- 39.
- 40.
St Amand and Zamble (2001).
- 41.
See, e.g., Eisenberg et al. (2001).
- 42.
Ariely (2009).
- 43.
- 44.
Englich et al. (2006).
- 45.
Guthrie et al. (2000).
- 46.
Rachlinski and Wistrich (2017).
- 47.
- 48.
Bystranowski et al. (2021).
- 49.
“I’m not guilty, but if you find me guilty, I would like to go to prison for two years”, see Ellis (2002).
- 50.
- 51.
Helm et al. (2020).
- 52.
See McAuliff and Bornstein (2010).
- 53.
- 54.
- 55.
Larrick (2004).
- 56.
- 57.
Fischoff (1982).
- 58.
Cf. scope neglect, Frederick and Fischhoff (1998).
- 59.
- 60.
See Furnham and Boo (2011).
- 61.
Lerner and Tetlock (1999).
- 62.
Kruglanski and Freund (1983).
- 63.
For the controversies about reasoned verdicts when it comes to jury decision-making see Burd and Hans (2018).
- 64.
Hastie et al. (1999).
- 65.
The so-called “training in biases” approach, Larrick (2004).
- 66.
Furnham and Boo (2011).
- 67.
Wilson and Brekke (1994).
- 68.
- 69.
Soll et al. (2014).
- 70.
McElroy and Dowd (2007).
- 71.
Eroglu and Croxton (2010).
- 72.
- 73.
Teovanović (2019).
- 74.
- 75.
- 76.
- 77.
Helm et al. (2020).
- 78.
- 79.
Petrova et al. (2019).
- 80.
See Sobkow et al. (2019).
- 81.
See Helm et al. (2020).
- 82.
Helm et al. (2020).
- 83.
Larrick (2004).
- 84.
Larrick (2004).
- 85.
Sedlmeier (1999).
- 86.
For an example, see Gigerenzer and Hoffrage (1995).
- 87.
Larrick and Soll (2008).
- 88.
Hauth (1962).
- 89.
McAuliff and Bornstein (2010).
- 90.
See e.g. Wong and Kwong (2000).
- 91.
McAuliff and Bornstein (2010).
- 92.
See Kantorowicz-Reznichenko (2015).
- 93.
- 94.
See Adame (2016).
- 95.
Zenker et al. (2018).
- 96.
See Bystranowski et al. (2021).
- 97.
Wilson and Brekke (1994).
- 98.
- 99.
Saks et al. (1997).
- 100.
For a comprehensive review of different sentencing guidelines in the US, see Frase (2019).
- 101.
Bennett (2014).
- 102.
See e.g. Porter (2013).
- 103.
Bennett (2014).
- 104.
Bennett (2014).
- 105.
Scott (2010).
- 106.
Porter (2013).
- 107.
Recall Saks et al. (1997).
- 108.
Bennett (2014).
- 109.
Bennett (2014).
- 110.
Frase (2019).
- 111.
Führich (2018).
- 112.
See e.g. Jurišin et al. (2018).
- 113.
Rachlinski (2006).
- 114.
- 115.
Klatt (2007).
- 116.
Dworkin (2013).
- 117.
Alexy (2010).
- 118.
- 119.
Klatt (2007), p. 517.
- 120.
Hart (2013), p. 653.
- 121.
Shaw (2013).
- 122.
Shaw (2013).
- 123.
Shaw (2013).
- 124.
Hart (2013).
- 125.
Klatt (2007).
- 126.
Hart (2013), p. 664.
- 127.
Shaw (2013).
- 128.
Hart (2013).
- 129.
Hart (2013).
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This work was supported by the National Science Centre, Poland, grants no. 2017/25/N/HS5/00944 (Maciej Próchnicki), 2020/36/C/HS5/00111 (Bartosz Janik), and 2016/23/N/HS5/00928 (Piotr Bystranowski).
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Próchnicki, M., Janik, B., Bystranowski, P. (2022). Debiasing Numerical Verdicts and Judicial Discretion: Reflections on Mitigating the Anchoring Effect in Judicial Decision-Making. In: Bystranowski, P., Janik, B., Próchnicki, M. (eds) Judicial Decision-Making. Economic Analysis of Law in European Legal Scholarship, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-031-11744-2_5
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